Rethink how you refine your pipeline. Join the discussion focused on turning raw CI/CD data into metrics that show efficiency levels.
Data quality isn't just a technical issue: It impacts an organization's compliance, operational efficiency, and customer satisfaction.
Never Write Another JOIN: The RDBMS Developer's Guide to Graph Databases
For the right use case, relational databases are powerful tools. But today’s users are asking for more than an RDBMS can handle. More features, more data, more speed and – most importantly – more connections.
This ebook introduces you – the RDBMS developer – to a new technology that leverages data connections like never before: the graph database.
You'll learn how connected data queries cripple RDBMS performance, as well as the advantages of a graph database in handling highly connected data, such as minutes-to-milliseconds performance, accelerated development cycles, and business responsiveness.
This ebook also shows you how to create a graph data model, with an introduction to the Cypher graph query language that's many lines shorter for data-relationship questions than a typical single query in SQL.
This definitive guide covers:
* RDBMS vs. NoSQL database vs. graph data modeling
* SQL vs. Cypher as query languages
* Relational + graph deployment paradigms
And much more
